392 engineering-computation-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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reporting mediums. You will be responsible for: The manual and computational capture and recording of large data sets, the design and integration techniques to enable data validation, integrity, analysis
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development of large data and the associated interrogation techniques, data visualisation through various reporting mediums. You will be responsible for: The manual and computational capture and recording
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, ensuring effective knowledge exchange and impact delivery. We hope you will bring: We are looking for a highly motivated researcher with a PhD in Electricity Markets, Economics, Electrical Engineering
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the direction of a strategically important research area. We hope you will bring: We are looking for a candidate with a PhD in Electrical Engineering, Computer Science, Economics, or a closely related field, and
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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• International Business • Impact • Innovation • Management Science • Marketing • Major Programme Management • Organisation Studies
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• International Business • Impact • Innovation • Management Science • Marketing • Major Programme Management • Organisation Studies
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the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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generation of wireless communications. To be successful in this role, you will have: a PhD or equivalent qualification (or be nearing completion thereof) in Physics/Optical Engineering or another subject
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the Engineering and Physical Sciences Research Council. The work in the project builds on recent seminal work carried out by the project investigators on Linear Angular Momentum Multiplexing (LAMM) . The project is